algorithmic trading

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MABDA - Master in Big Data Analytics Business School Financial Economics Prof. Nicola Borri ______________________ MABDA Problem Set 1 Team – Romeo Vimal, Loris Giaimis

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An example of algorithmic trading using Apple stock

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  • MABDA - Master in Big Data Analytics

    BusinessSchool

    Financial EconomicsProf. Nicola Borri______________________

    MABDAProblem Set 1

    Team Romeo Vimal, Loris Giaimis

  • The Algorithm

    START

    LIQUIDITY > 0BUY STOCKS

    DONT BUY STOCKS

    PRICE PERFORMANCEDO NOTHING

    SELL -50%

    DO NOTHING

    END

    Decrease -0,1% in 5 days

    Start again

    If the price increased in 5 days

  • PAST

    METRICSTrading

    SOME ANALYSIS 2007-2011

    0

    10

    20

    30

    40

    50

    60

    70

    01/03/2007 01/03/2008 01/03/2009 01/03/2010 01/03/2011

    APPLE - PRICE HIGH @AAPL(PH)

    Max Price Max Daily Fluctuation

    60,9571 13%

    Min Price Min Daily Fluctuation

    11,7143 -12%

    Standard Deviation

    13,8484

  • PERFORMANCES 31-12-2011 / 31-12-2012

    -

    200.000,00

    400.000,00

    600.000,00

    800.000,00

    1.000.000,00

    1.200.000,00

    1.400.000,00

    1.600.000,00

    1.800.000,00

    2.000.000,00

    Daily Result

    Daily Result SD

    INITIAL EQUITY TOTAL RETURN PERFORMANCE

    1.000.000 1.316.099,49 32%

  • PERFORMANCES UNTIL NOW

    -

    500.000

    1.000.000

    1.500.000

    2.000.000

    2.500.000

    Daily Return Standard Deviation

    Initial Equity Total Return Performance

    1.000.000,00 2.196.222 120%

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